lobster-use

Runs bioinformatics analysis with Lobster AI -- single-cell RNA-seq, bulk RNA-seq, genomics (VCF/GWAS), proteomics (mass spec/affinity), metabolomics (LC-MS/GC-MS/NMR), machine learning (feature selection, survival analysis), drug discovery, literature search, dataset discovery, and visualization. Use when working with biological data, omics analysis, or bioinformatics tasks. Covers: H5AD, CSV, VCF, PLINK, 10X, mzML formats, GEO/SRA/PRIDE/MetaboLights accessions. TRIGGER PHRASES: "analyze cells", "search PubMed", "download GEO", "run QC", "cluster", "find markers", "differential expression", "UMAP", "volcano plot", "single-cell", "RNA-seq", "VCF", "GWAS", "proteomics", "mass spec", "metabolomics", "MetaboLights", "LC-MS", "metabolite", "feature selection", "survival analysis", "biomarker", "bioinformatics", "drug discovery", "pharmacogenomics", "variant annotation" ASSUMES: Lobster is installed and configured. For setup issues, tell user to run `lobster config-test` and fix any errors before proceeding.

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Install skill "lobster-use" with this command: npx skills add cewinharhar/lobsterbio-use

Lobster AI Usage Guide

Lobster AI is a multi-agent bioinformatics platform. Users describe analyses in natural language -- Lobster routes to 22 specialist agents across 10 packages automatically.

Requirements

  • Binaries: lobster CLI (pip install lobster-ai), Python 3.12+
  • Credential: Exactly ONE LLM provider key as env var (not all — pick one):
    • ANTHROPIC_API_KEY | GOOGLE_API_KEY | OPENAI_API_KEY | OPENROUTER_API_KEY
    • AWS_ACCESS_KEY_ID + AWS_SECRET_ACCESS_KEY (Bedrock — both required)
    • AZURE_AI_ENDPOINT + AZURE_AI_CREDENTIAL (Azure — both required)
    • Ollama: no key needed (local models)
  • Optional: NCBI_API_KEY for faster PubMed/GEO
  • Writes: .lobster_workspace/ (data, credentials in .env mode 0600, outputs)
  • Global config (--global flag, NOT default): ~/.config/lobster/ — avoid unless needed
  • Network: LLM provider API + public bio databases (GEO, SRA, PRIDE, MetaboLights)

Docs Discovery

The docs site at docs.omics-os.com exposes LLM-friendly raw markdown:

RouteUse
/llms.txtIndex of all pages (title + URL + description)
/llms-full.txtFull content dump of all free pages
/raw/docs/{slug}.mdRaw markdown for a specific page

Workflow: Fetch /llms.txt first to discover slugs, then fetch individual pages via /raw/docs/{slug}.md.

Example: https://docs.omics-os.com/raw/docs/tutorials/single-cell-rnaseq.md

Two Modes

This skill supports coding agents in two modes:

Orchestrator -- The agent calls lobster query --json --session-id programmatically, parses structured output, and chains multi-step analyses. See agent-patterns.md.

Guide -- The agent teaches a human user what to type in lobster chat or lobster query. See the routing table below for which docs page to fetch.

Quick Start

# Install (PyPI -- preferred)
pip install 'lobster-ai[full]'
# or: uv tool install 'lobster-ai[full]'

# Configure (uses env var -- never pass raw keys on command line)
lobster init --non-interactive --anthropic-key "$ANTHROPIC_API_KEY" --profile production

# Run analysis (always pass -w and --session-id together)
lobster query -w ./my_analysis --session-id "proj" --json "Download GSE109564 and run QC"

# Inspect workspace (no tokens burned, ~300ms)
lobster command data --json -w ./my_analysis

Source: github.com/the-omics-os/lobster | PyPI: pypi.org/project/lobster-ai

Routing Table

You want to...Docs slugSkill reference
Install & configuregetting-started/installation--
Configuration optionsgetting-started/configuration--
Use the CLIguides/cli-commandscli-reference.md
Orchestrate programmatically--agent-patterns.md
Analyze scRNA-seqtutorials/single-cell-rnaseq--
Analyze bulk RNA-seqtutorials/bulk-rnaseq--
Analyze proteomicstutorials/proteomics--
Understand data formatsguides/data-formats--
Search literature / datasetsagents/research--
Analyze genomicsagents/genomics--
Analyze metabolomicscase-studies/metabolomics--
ML / feature selectionagents/ml--
Drug discoveryagents/drug-discovery--
Visualize resultsagents/visualization--
Troubleshootsupport/troubleshooting--
See case studiescase-studies/{domain}--
All agent capabilitiesagents--
Extend Lobster (dev)--Use lobster-dev skill

To fetch a docs page: https://docs.omics-os.com/raw/docs/{slug}.md

Hard Rules

  1. Always use --session-id for multi-step analyses -- loaded data persists across queries
  2. Use lobster command --json for workspace inspection (no tokens burned, ~300ms)
  3. Research Agent is the ONLY agent with internet access -- all others operate on loaded data
  4. Never skip QC before analysis -- always assess quality first
  5. Use --json flag when parsing output programmatically
  6. Check data is loaded before running analysis steps (lobster command data --json)
  7. Default workspace: .lobster_workspace/ -- override with -w <path>
  8. Fetch docs on demand from docs.omics-os.com/raw/docs/{slug}.md -- don't guess workflows

Agent Overview

22 agents across 10 packages. Supervisor routes automatically based on natural language.

AgentPackageHandles
Supervisorlobster-aiRoutes queries, coordinates agents
Research Agentlobster-researchPubMed, GEO, SRA, PRIDE, MetaboLights search (online)
Data Expertlobster-researchFile loading, downloads, format conversion (offline)
Transcriptomics Expertlobster-transcriptomicsscRNA-seq + bulk RNA-seq: QC, clustering, trajectory
Annotation Expertlobster-transcriptomicsCell type annotation, gene set enrichment (child)
DE Analysis Expertlobster-transcriptomicsDifferential expression, pseudobulk, GSEA (child)
Proteomics Expertlobster-proteomicsMS + affinity import, QC, normalization, batch correction
Proteomics DE Expertlobster-proteomicsProtein DE, pathway enrichment, KSEA, STRING PPI (child)
Biomarker Discoverylobster-proteomicsPanel selection, nested CV, hub proteins (child)
Metabolomics Expertlobster-metabolomicsLC-MS/GC-MS/NMR: QC, normalization, PCA/PLS-DA, annotation
Genomics Expertlobster-genomicsVCF/PLINK: QC, GWAS, variant annotation
Variant Analysis Expertlobster-genomicsVEP annotation, ClinVar, clinical prioritization (child)
ML Expertlobster-mlML prep, scVI embeddings, data export
Feature Selection Expertlobster-mlStability selection, LASSO, variance filtering (child)
Survival Analysis Expertlobster-mlCox models, Kaplan-Meier, risk stratification (child)
Drug Discovery Expertlobster-drug-discoveryDrug target validation, compound profiling
Cheminformatics Expertlobster-drug-discoveryMolecular descriptors, fingerprints, similarity (child)
Clinical Dev Expertlobster-drug-discoveryTrial design, endpoint analysis, safety signals (child)
Pharmacogenomics Expertlobster-drug-discoveryPGx variants, drug-gene interactions (child)
Visualization Expertlobster-visualizationUMAP, heatmaps, volcano plots, dot plots (Plotly)
Metadata Assistantlobster-metadataID mapping, metadata standardization (internal)
Protein Structure Vizlobster-structural-vizPDB fetch, PyMOL visualization, RMSD

Per-agent docs: https://docs.omics-os.com/raw/docs/agents/{domain}.md

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